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Found 5 results

  1. In this paper, I used two-way ANOVA (analysis of variance) to explore whether gender and race would influence student’s academic performance in some special majors. To be more specific, I would like to know how students perform when they are studying computer science. I used two-way ANOVA to test the null hypothesis and use the F value to find the answer to the question. Data was collected based on the survey sent out by me. When I was reading articles related to Statistics, I found a really interesting one. Randy Olson is an author who wrote several controversial gender-related articl
  2. I have been set the following piece of work which I have mostly done, I have worked out the amount of particles hitting the disk but am unsure on how to continue to work out the number of particles hitting the back of the ring, any help would be appreciated, thank you
  3. I have been set the following piece of work which I have mostly done, I have worked out the amount of particles hitting the disk but am unsure on how to continue to work out the number of particles hitting the back of the ring, any help would be appreciated, thank you
  4. I recently had to create a bail predictor for work in order to save our underwriters time on finding out exactly what the bail amount is going to be for any given charge. I admit that I took the easy way out on the pattern recognition search algorithm by using exponents, but in the process I discovered something that may be useful in the future. What I did was take an input (like "pattern"), look at its length, and then calculate the length of the input as well as all of the patterns within the input. The recursive math looks something like this. Pattern(length of 7) 7 6,6 5,5,5,5 4,4,4,4,
  5. Ran across this on Twitter via the wonderful economist Noah Smith (@noahpinion, love that handle) of the statistical "work" of the "Spurious Correlations" web site (http://tylervigen.com/): Source Spurious Correlations People using random correlations to prove things is one of my pet peeves. The press does this a lot when a scientist in an announcement mentions a correlation as supporting evidence, and it gets translated in the article as "proof," but what's so much worse today is the tendency for pseudo-science to use outright false statements of causation based on data like this. Wo
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